1 221 AI Research jobs in Bahrain
AI Research Scientist - Deep Learning
Posted today
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Job Description
- Conduct advanced research in deep learning, including but not limited to neural networks, reinforcement learning, computer vision, and natural language processing.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop and optimize deep learning architectures for performance and scalability.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for application.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Contribute to the development of intellectual property and patent applications.
- Analyze large datasets to extract insights and inform model development.
- Present research results and progress to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, C++, or similar languages.
- Solid understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with large-scale data processing and distributed computing environments.
- A strong publication record in major AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.
- Excellent written and verbal communication skills.
- Passion for pushing the boundaries of artificial intelligence.
Senior AI Research Scientist - Deep Learning
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Principal AI Research Scientist (Deep Learning)
Posted today
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Job Description
- Driving research initiatives in deep learning and related AI fields.
- Designing, developing, and evaluating novel deep learning architectures and algorithms.
- Mentoring junior researchers and engineers, fostering a collaborative research environment.
- Publishing research findings in top-tier conferences and journals.
- Translating research breakthroughs into practical applications and prototypes.
- Staying at the forefront of AI research by actively participating in the scientific community.
- Contributing to the strategic direction of the company's AI research roadmap.
Senior AI Research Scientist - Deep Learning
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As a Senior AI Research Scientist, you will be instrumental in driving innovation and pushing the boundaries of artificial intelligence. Your primary focus will be on developing and implementing advanced deep learning models for complex real-world problems. This includes designing novel neural network architectures, optimizing training procedures, and deploying robust AI solutions. You will work with large datasets, leverage state-of-the-art computational resources, and collaborate closely with a team of world-class researchers and engineers.
Key responsibilities include:
- Conducting theoretical and applied research in machine learning, deep learning, and related AI fields.
- Developing and prototyping new algorithms and models for areas such as computer vision, natural language processing, and reinforcement learning.
- Collaborating with product teams to translate research findings into practical applications and product features.
- Staying abreast of the latest advancements in AI research and contributing to the scientific community through publications and presentations.
- Mentoring junior researchers and contributing to a culture of continuous learning and innovation.
- Evaluating and integrating new AI technologies and tools.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research publications in top-tier AI conferences and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a collaborative team.
- Experience with distributed training and large-scale data processing is a plus.
Remote AI Research Scientist - Deep Learning
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Job Description
You will contribute to the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Collaboration with other researchers, engineers, and product managers will be key to translating research breakthroughs into practical, scalable solutions. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in top-tier AI conferences and journals. Exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. You should possess a deep theoretical understanding of various neural network architectures, optimization techniques, and regularization methods. This role requires a highly analytical mind, exceptional problem-solving abilities, and a passion for exploring new frontiers in AI. As a fully remote team member, you must be self-motivated, possess excellent communication skills, and be adept at virtual collaboration.
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop, implement, and evaluate novel deep learning models and algorithms.
- Work with large-scale datasets for training and testing AI models.
- Collaborate with a team of researchers and engineers to advance AI projects.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI products and solutions.
- Stay current with the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge sharing.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research in deep learning, with publications in top-tier venues.
- Expertise in Python and major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with various neural network architectures (CNNs, RNNs, Transformers).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Conduct advanced research in deep learning architectures, including CNNs, RNNs, Transformers, and GANs.
- Develop and implement state-of-the-art machine learning models and algorithms.
- Collaborate with cross-functional teams to translate research findings into practical applications and product features.
- Analyze and interpret large datasets to extract meaningful insights and identify patterns.
- Stay abreast of the latest advancements in AI and machine learning research through continuous learning and participation in academic conferences.
- Publish research findings in top-tier academic journals and present at international conferences.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Ensure the ethical and responsible development and deployment of AI systems.
- Contribute to the development of intellectual property through patents and publications.
- Propose and lead innovative research projects from conception to completion.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in deep learning with significant contributions to the field.
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of mathematical concepts including linear algebra, calculus, and probability.
- Experience with cloud platforms (AWS, Azure, GCP) for AI model training and deployment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience leading research projects and mentoring team members is highly desirable.
- Ability to work independently and as part of a collaborative team in a fast-paced environment.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Key responsibilities include:
- Conducting state-of-the-art research in deep learning architectures and techniques.
- Developing and optimizing deep neural networks for various AI applications.
- Implementing and deploying machine learning models into production environments.
- Analyzing large datasets to extract meaningful insights and drive model improvements.
- Collaborating with product managers to define AI strategy and roadmap.
- Mentoring junior researchers and engineers.
- Staying abreast of the latest advancements in AI and machine learning.
- Publishing research findings in top-tier conferences and journals.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 5 years of hands-on experience in AI research and development. Proven expertise in frameworks such as TensorFlow, PyTorch, and Keras is essential. Strong programming skills in Python, C++, and relevant libraries (e.g., NumPy, SciPy, Pandas) are required. A deep understanding of mathematical concepts, including linear algebra, calculus, and probability, is crucial. Experience with cloud platforms like AWS, Azure, or GCP, and familiarity with big data technologies such as Spark and Hadoop, would be advantageous. Excellent communication and problem-solving abilities are necessary to effectively collaborate with diverse teams and present complex findings. This is a unique opportunity to make a significant impact in the rapidly evolving field of artificial intelligence.
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AI Research Scientist
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models.
- Analyze large datasets to train and evaluate AI systems.
- Collaborate with engineering teams to integrate AI solutions into products.
- Stay current with AI research trends and advancements.
- Publish research findings in reputable journals and conferences.
- Design and conduct experiments to test AI hypotheses.
- Contribute to the strategic direction of AI research initiatives.
Qualifications:
- PhD or Master's degree in Computer Science, AI, or Machine Learning.
- Minimum 5 years of research experience in AI/ML.
- Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch).
- Strong understanding of machine learning algorithms and deep learning architectures.
- Experience in NLP, computer vision, or reinforcement learning is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Publication record in top-tier AI conferences or journals.
AI Research Scientist
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models.
- Design and execute experiments to evaluate AI system performance.
- Analyze large datasets to extract insights and inform model development.
- Stay current with the latest AI research and industry trends.
- Collaborate with engineering teams to deploy AI models into production.
- Publish research findings in top-tier conferences and journals.
- Contribute to the intellectual property and patent portfolio.
- Mentor junior researchers and engineers.
- Communicate complex technical concepts to diverse audiences.
- Contribute to the strategic direction of AI research initiatives.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 3 years of post-graduate research experience in AI/ML.
- Proven track record of publications in reputable AI conferences or journals.
- Strong theoretical foundation in machine learning, deep learning, and related fields.
- Proficiency in programming languages like Python and AI frameworks (TensorFlow, PyTorch).
- Experience with data analysis and visualization tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a hybrid and collaborative research environment.
- Strong communication and presentation skills.
AI Research Scientist
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct research and development in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop prototypes and proof-of-concepts for new AI-driven products and features.
- Analyze large datasets to extract meaningful insights and train AI models.
- Collaborate with cross-functional teams including software engineers and product managers.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning research.
- Mentor junior researchers and contribute to the team's knowledge base.
- Optimize AI models for performance, scalability, and efficiency.
- Present research results and project progress to technical and non-technical audiences.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in conducting AI/ML research, demonstrated through publications, patents, or significant project contributions.
- Strong theoretical understanding and practical experience with various ML algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages like Python, Java, or C++.
- Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
This is an exceptional opportunity for a passionate AI researcher to work on challenging problems and contribute to the future of technology.